{"slug":"lingxling-scanpy","source_name":"lingxling/scanpy","name":"Lingxling/Scanpy","description":"Standard single-cell RNA-seq analysis pipeline. Use for QC, normalization, dimensionality reduction (PCA/UMAP/t-SNE), clustering, differential expression, visualization, and converting R-friendly single-cell formats such as Seurat or SingleCellExperiment RDS files into h5ad for Scanpy. Best for exploratory scRNA-seq analysis with established workflows. For deep learning models use scvi-tools; for data format questions use anndata.","version":1,"lift":{"pass_rate_delta_pts":36,"pass_rate_pct":92,"total_cases":25,"passed_cases":23,"tokens_delta_pct":223.1,"turns_delta_pct":0,"verdict":"mixed","benchmark_model":"gemini-3.6-flash","grading_method":"judged","completed_at":"2026-08-28T09:20:03.771569+00:00"},"skill_score":null,"benchmark_models":[{"model":"gemini-3.6-flash","headline":true,"delta_pts":36,"with_pass_pct":92,"without_pass_pct":56,"tokens_delta_pct":223.1,"turns_delta_pct":0,"total_cases":25,"cases_aggregated":23,"verdict":"mixed","never_hurt":true,"completed_at":"2026-08-28T09:20:03.771569+00:00","run_id":"6430d964-f4fa-4c24-b12c-2455d42febda","version_number":1,"is_latest_version":true,"gate":null}],"trust":{"skill_safety":"passed","safety_status":"clean","intent_verdict":"safe","content_status":"clean","indexable":true},"license":"BSD-3-Clause","install_count":0,"manifest_hash":"c08a0885f5eec03be85be7ff64c8dbd2418362b77556647076d829cef245fb88","raw_url":"https://app.decimal.ai/s/lingxling-scanpy/SKILL.md","scorecard_url":"https://app.decimal.ai/skills/lingxling-scanpy"}